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|
||||
version = "1.0">
|
||||
<FileRef
|
||||
location = "self:">
|
||||
</FileRef>
|
||||
</Workspace>
|
@ -0,0 +1,8 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
|
||||
<plist version="1.0">
|
||||
<dict>
|
||||
<key>IDEDidComputeMac32BitWarning</key>
|
||||
<true/>
|
||||
</dict>
|
||||
</plist>
|
@ -0,0 +1,11 @@
|
||||
{
|
||||
"colors" : [
|
||||
{
|
||||
"idiom" : "universal"
|
||||
}
|
||||
],
|
||||
"info" : {
|
||||
"author" : "xcode",
|
||||
"version" : 1
|
||||
}
|
||||
}
|
Binary file not shown.
@ -0,0 +1,65 @@
|
||||
{
|
||||
"images" : [
|
||||
{
|
||||
"filename" : "labrador-x2.png",
|
||||
"idiom" : "universal",
|
||||
"platform" : "ios",
|
||||
"size" : "1024x1024"
|
||||
},
|
||||
{
|
||||
"idiom" : "mac",
|
||||
"scale" : "1x",
|
||||
"size" : "16x16"
|
||||
},
|
||||
{
|
||||
"idiom" : "mac",
|
||||
"scale" : "2x",
|
||||
"size" : "16x16"
|
||||
},
|
||||
{
|
||||
"idiom" : "mac",
|
||||
"scale" : "1x",
|
||||
"size" : "32x32"
|
||||
},
|
||||
{
|
||||
"idiom" : "mac",
|
||||
"scale" : "2x",
|
||||
"size" : "32x32"
|
||||
},
|
||||
{
|
||||
"idiom" : "mac",
|
||||
"scale" : "1x",
|
||||
"size" : "128x128"
|
||||
},
|
||||
{
|
||||
"idiom" : "mac",
|
||||
"scale" : "2x",
|
||||
"size" : "128x128"
|
||||
},
|
||||
{
|
||||
"idiom" : "mac",
|
||||
"scale" : "1x",
|
||||
"size" : "256x256"
|
||||
},
|
||||
{
|
||||
"idiom" : "mac",
|
||||
"scale" : "2x",
|
||||
"size" : "256x256"
|
||||
},
|
||||
{
|
||||
"idiom" : "mac",
|
||||
"scale" : "1x",
|
||||
"size" : "512x512"
|
||||
},
|
||||
{
|
||||
"filename" : "labrador-x2 1.png",
|
||||
"idiom" : "mac",
|
||||
"scale" : "2x",
|
||||
"size" : "512x512"
|
||||
}
|
||||
],
|
||||
"info" : {
|
||||
"author" : "xcode",
|
||||
"version" : 1
|
||||
}
|
||||
}
|
After Width: | Height: | Size: 1.1 MiB |
After Width: | Height: | Size: 1.1 MiB |
@ -0,0 +1,6 @@
|
||||
{
|
||||
"info" : {
|
||||
"author" : "xcode",
|
||||
"version" : 1
|
||||
}
|
||||
}
|
@ -0,0 +1,21 @@
|
||||
{
|
||||
"images" : [
|
||||
{
|
||||
"idiom" : "universal",
|
||||
"scale" : "1x"
|
||||
},
|
||||
{
|
||||
"filename" : "labrador.png",
|
||||
"idiom" : "universal",
|
||||
"scale" : "2x"
|
||||
},
|
||||
{
|
||||
"idiom" : "universal",
|
||||
"scale" : "3x"
|
||||
}
|
||||
],
|
||||
"info" : {
|
||||
"author" : "xcode",
|
||||
"version" : 1
|
||||
}
|
||||
}
|
After Width: | Height: | Size: 436 KiB |
@ -0,0 +1,12 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
|
||||
<plist version="1.0">
|
||||
<dict>
|
||||
<key>com.apple.security.app-sandbox</key>
|
||||
<true/>
|
||||
<key>com.apple.security.files.user-selected.read-only</key>
|
||||
<true/>
|
||||
<key>com.apple.security.network.client</key>
|
||||
<true/>
|
||||
</dict>
|
||||
</plist>
|
@ -0,0 +1,20 @@
|
||||
//
|
||||
// DiffusionApp.swift
|
||||
// Diffusion
|
||||
//
|
||||
// Created by Pedro Cuenca on December 2022.
|
||||
// See LICENSE at https://github.com/huggingface/swift-coreml-diffusers/LICENSE
|
||||
//
|
||||
|
||||
import SwiftUI
|
||||
|
||||
@main
|
||||
struct DiffusionApp: App {
|
||||
var body: some Scene {
|
||||
WindowGroup {
|
||||
LoadingView()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
extension String: Error {}
|
@ -0,0 +1,91 @@
|
||||
//
|
||||
// Downloader.swift
|
||||
// Diffusion
|
||||
//
|
||||
// Created by Pedro Cuenca on December 2022.
|
||||
// See LICENSE at https://github.com/huggingface/swift-coreml-diffusers/LICENSE
|
||||
//
|
||||
|
||||
import Foundation
|
||||
import Combine
|
||||
import Path
|
||||
|
||||
class Downloader: NSObject, ObservableObject {
|
||||
private(set) var destination: URL
|
||||
|
||||
enum DownloadState {
|
||||
case notStarted
|
||||
case downloading(Double)
|
||||
case completed(URL)
|
||||
case failed(Error)
|
||||
}
|
||||
|
||||
private(set) lazy var downloadState: CurrentValueSubject<DownloadState, Never> = CurrentValueSubject(.notStarted)
|
||||
private var stateSubscriber: Cancellable?
|
||||
|
||||
init(from url: URL, to destination: URL) {
|
||||
self.destination = destination
|
||||
super.init()
|
||||
|
||||
// .background allows downloads to proceed in the background
|
||||
let config = URLSessionConfiguration.background(withIdentifier: "net.pcuenca.diffusion.download")
|
||||
let urlSession = URLSession(configuration: config, delegate: self, delegateQueue: OperationQueue())
|
||||
downloadState.value = .downloading(0)
|
||||
urlSession.getAllTasks { tasks in
|
||||
// If there's an existing pending background task, let it proceed, otherwise start a new one.
|
||||
// TODO: check URL when we support downloading more models.
|
||||
if tasks.first == nil {
|
||||
urlSession.downloadTask(with: url).resume()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@discardableResult
|
||||
func waitUntilDone() throws -> URL {
|
||||
// It's either this, or stream the bytes ourselves (add to a buffer, save to disk, etc; boring and finicky)
|
||||
let semaphore = DispatchSemaphore(value: 0)
|
||||
stateSubscriber = downloadState.sink { state in
|
||||
switch state {
|
||||
case .completed: semaphore.signal()
|
||||
case .failed: semaphore.signal()
|
||||
default: break
|
||||
}
|
||||
}
|
||||
semaphore.wait()
|
||||
|
||||
switch downloadState.value {
|
||||
case .completed(let url): return url
|
||||
case .failed(let error): throw error
|
||||
default: throw("Should never happen, lol")
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
extension Downloader: URLSessionDelegate, URLSessionDownloadDelegate {
|
||||
func urlSession(_: URLSession, downloadTask: URLSessionDownloadTask, didWriteData _: Int64, totalBytesWritten _: Int64, totalBytesExpectedToWrite _: Int64) {
|
||||
downloadState.value = .downloading(downloadTask.progress.fractionCompleted)
|
||||
}
|
||||
|
||||
func urlSession(_: URLSession, downloadTask _: URLSessionDownloadTask, didFinishDownloadingTo location: URL) {
|
||||
guard let path = Path(url: location) else {
|
||||
downloadState.value = .failed("Invalid download location received: \(location)")
|
||||
return
|
||||
}
|
||||
guard let toPath = Path(url: destination) else {
|
||||
downloadState.value = .failed("Invalid destination: \(destination)")
|
||||
return
|
||||
}
|
||||
do {
|
||||
try path.move(to: toPath, overwrite: true)
|
||||
downloadState.value = .completed(destination)
|
||||
} catch {
|
||||
downloadState.value = .failed(error)
|
||||
}
|
||||
}
|
||||
|
||||
func urlSession(_: URLSession, task: URLSessionTask, didCompleteWithError error: Error?) {
|
||||
if let error = error {
|
||||
downloadState.value = .failed(error)
|
||||
}
|
||||
}
|
||||
}
|
@ -0,0 +1,56 @@
|
||||
//
|
||||
// Pipeline.swift
|
||||
// Diffusion
|
||||
//
|
||||
// Created by Pedro Cuenca on December 2022.
|
||||
// See LICENSE at https://github.com/huggingface/swift-coreml-diffusers/LICENSE
|
||||
//
|
||||
|
||||
import Foundation
|
||||
import CoreML
|
||||
import Combine
|
||||
|
||||
import StableDiffusion
|
||||
|
||||
typealias StableDiffusionProgress = StableDiffusionPipeline.Progress
|
||||
|
||||
class Pipeline {
|
||||
let pipeline: StableDiffusionPipeline
|
||||
|
||||
var progress: StableDiffusionProgress? = nil {
|
||||
didSet {
|
||||
progressPublisher.value = progress
|
||||
}
|
||||
}
|
||||
lazy private(set) var progressPublisher: CurrentValueSubject<StableDiffusionProgress?, Never> = CurrentValueSubject(progress)
|
||||
|
||||
|
||||
init(_ pipeline: StableDiffusionPipeline) {
|
||||
self.pipeline = pipeline
|
||||
}
|
||||
|
||||
func generate(prompt: String, scheduler: StableDiffusionScheduler, numInferenceSteps stepCount: Int = 50, seed: UInt32? = nil) throws -> CGImage {
|
||||
let beginDate = Date()
|
||||
print("Generating...")
|
||||
let theSeed = seed ?? UInt32.random(in: 0..<UInt32.max)
|
||||
let images = try pipeline.generateImages(
|
||||
prompt: prompt,
|
||||
imageCount: 1,
|
||||
stepCount: stepCount,
|
||||
seed: theSeed,
|
||||
scheduler: scheduler
|
||||
) { progress in
|
||||
handleProgress(progress)
|
||||
return true
|
||||
}
|
||||
print("Got images: \(images) in \(Date().timeIntervalSince(beginDate))")
|
||||
|
||||
// unwrap the 1 image we asked for
|
||||
guard let image = images.compactMap({ $0 }).first else { throw "Generation failed" }
|
||||
return image
|
||||
}
|
||||
|
||||
func handleProgress(_ progress: StableDiffusionPipeline.Progress) {
|
||||
self.progress = progress
|
||||
}
|
||||
}
|
@ -0,0 +1,141 @@
|
||||
//
|
||||
// PipelineLoader.swift
|
||||
// Diffusion
|
||||
//
|
||||
// Created by Pedro Cuenca on December 2022.
|
||||
// See LICENSE at https://github.com/huggingface/swift-coreml-diffusers/LICENSE
|
||||
//
|
||||
|
||||
|
||||
import CoreML
|
||||
import Combine
|
||||
|
||||
import Path
|
||||
import ZIPFoundation
|
||||
import StableDiffusion
|
||||
|
||||
class PipelineLoader {
|
||||
static let models = Path.applicationSupport / "models"
|
||||
|
||||
let url: URL
|
||||
private var downloadSubscriber: Cancellable?
|
||||
|
||||
init(url: URL) {
|
||||
self.url = url
|
||||
state = .undetermined
|
||||
setInitialState()
|
||||
}
|
||||
|
||||
enum PipelinePreparationPhase {
|
||||
case undetermined
|
||||
case waitingToDownload
|
||||
case downloading(Double)
|
||||
case downloaded
|
||||
case uncompressing
|
||||
case readyOnDisk
|
||||
case loaded
|
||||
case failed(Error)
|
||||
}
|
||||
|
||||
var state: PipelinePreparationPhase {
|
||||
didSet {
|
||||
statePublisher.value = state
|
||||
}
|
||||
}
|
||||
private(set) lazy var statePublisher: CurrentValueSubject<PipelinePreparationPhase, Never> = CurrentValueSubject(state)
|
||||
|
||||
func setInitialState() {
|
||||
if ready {
|
||||
state = .readyOnDisk
|
||||
return
|
||||
}
|
||||
if downloaded {
|
||||
state = .downloaded
|
||||
return
|
||||
}
|
||||
state = .waitingToDownload
|
||||
}
|
||||
}
|
||||
|
||||
extension PipelineLoader {
|
||||
static func removeAll() {
|
||||
try? models.delete()
|
||||
}
|
||||
}
|
||||
|
||||
extension PipelineLoader {
|
||||
var filename: String {
|
||||
return url.lastPathComponent
|
||||
}
|
||||
|
||||
var downloadedPath: Path { PipelineLoader.models / filename }
|
||||
var downloadedURL: URL { downloadedPath.url }
|
||||
|
||||
var uncompressPath: Path { downloadedPath.parent }
|
||||
|
||||
var packagesFilename: String { downloadedPath.basename(dropExtension: true) }
|
||||
var compiledPath: Path { downloadedPath.parent/packagesFilename }
|
||||
|
||||
var downloaded: Bool {
|
||||
return downloadedPath.exists
|
||||
}
|
||||
|
||||
var ready: Bool {
|
||||
return compiledPath.exists
|
||||
}
|
||||
|
||||
// TODO: maybe receive Progress to add another progress as child
|
||||
func prepare() async throws -> Pipeline {
|
||||
do {
|
||||
try PipelineLoader.models.mkdir(.p)
|
||||
try await download()
|
||||
try await unzip()
|
||||
let pipeline = try await load(url: compiledPath.url)
|
||||
return Pipeline(pipeline)
|
||||
} catch {
|
||||
state = .failed(error)
|
||||
throw error
|
||||
}
|
||||
}
|
||||
|
||||
@discardableResult
|
||||
func download() async throws -> URL {
|
||||
if ready || downloaded { return downloadedURL }
|
||||
|
||||
let downloader = Downloader(from: url, to: downloadedURL)
|
||||
downloadSubscriber = downloader.downloadState.sink { state in
|
||||
if case .downloading(let progress) = state {
|
||||
print(progress)
|
||||
self.state = .downloading(progress)
|
||||
}
|
||||
}
|
||||
try downloader.waitUntilDone()
|
||||
return downloadedURL
|
||||
}
|
||||
|
||||
func unzip() async throws {
|
||||
guard downloaded else { return }
|
||||
state = .uncompressing
|
||||
do {
|
||||
try FileManager().unzipItem(at: downloadedURL, to: uncompressPath.url)
|
||||
} catch {
|
||||
// Cleanup if error occurs while unzipping
|
||||
try uncompressPath.delete()
|
||||
throw error
|
||||
}
|
||||
try downloadedPath.delete()
|
||||
state = .readyOnDisk
|
||||
}
|
||||
|
||||
func load(url: URL) async throws -> StableDiffusionPipeline {
|
||||
let beginDate = Date()
|
||||
let configuration = MLModelConfiguration()
|
||||
configuration.computeUnits = .cpuAndGPU // .all works for v1.4, but not for v1.5. TODO: measure performance on different devices
|
||||
let pipeline = try StableDiffusionPipeline(resourcesAt: url,
|
||||
configuration: configuration,
|
||||
disableSafety: false)
|
||||
print("Pipeline loaded in \(Date().timeIntervalSince(beginDate))")
|
||||
state = .loaded
|
||||
return pipeline
|
||||
}
|
||||
}
|
@ -0,0 +1,6 @@
|
||||
{
|
||||
"info" : {
|
||||
"author" : "xcode",
|
||||
"version" : 1
|
||||
}
|
||||
}
|
@ -0,0 +1,97 @@
|
||||
//
|
||||
// Loading.swift
|
||||
// Diffusion
|
||||
//
|
||||
// Created by Pedro Cuenca on December 2022.
|
||||
// See LICENSE at https://github.com/huggingface/swift-coreml-diffusers/LICENSE
|
||||
//
|
||||
|
||||
import SwiftUI
|
||||
import Combine
|
||||
|
||||
let PIPELINE_URL = "https://huggingface.co/pcuenq/coreml-stable-diffusion/resolve/main/coreml-stable-diffusion-v1-5_original_compiled.zip"
|
||||
|
||||
class DiffusionGlobals: ObservableObject {
|
||||
@Published var pipeline: Pipeline? = nil
|
||||
}
|
||||
|
||||
struct LoadingView: View {
|
||||
@StateObject var context = DiffusionGlobals()
|
||||
|
||||
@State private var preparationPhase = "Downloading…"
|
||||
@State private var downloadProgress: Double = 0
|
||||
|
||||
enum CurrentView {
|
||||
case loading
|
||||
case textToImage
|
||||
case error(String)
|
||||
}
|
||||
@State private var currentView: CurrentView = .loading
|
||||
|
||||
@State private var stateSubscriber: Cancellable?
|
||||
|
||||
var body: some View {
|
||||
VStack {
|
||||
switch currentView {
|
||||
case .textToImage: TextToImage().transition(.opacity)
|
||||
case .error(let message): ErrorPopover(errorMessage: message).transition(.move(edge: .top))
|
||||
case .loading:
|
||||
// TODO: Don't present progress view if the pipeline is cached
|
||||
ProgressView(preparationPhase, value: downloadProgress, total: 1).padding()
|
||||
}
|
||||
}
|
||||
.animation(.easeIn, value: currentView)
|
||||
.environmentObject(context)
|
||||
.onAppear {
|
||||
Task.init {
|
||||
let loader = PipelineLoader(url: URL(string: PIPELINE_URL)!)
|
||||
stateSubscriber = loader.statePublisher.sink { state in
|
||||
DispatchQueue.main.async {
|
||||
switch state {
|
||||
case .downloading(let progress):
|
||||
preparationPhase = "Downloading"
|
||||
downloadProgress = progress
|
||||
case .uncompressing:
|
||||
preparationPhase = "Uncompressing"
|
||||
downloadProgress = 1
|
||||
case .readyOnDisk:
|
||||
preparationPhase = "Loading"
|
||||
downloadProgress = 1
|
||||
default:
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
do {
|
||||
context.pipeline = try await loader.prepare()
|
||||
self.currentView = .textToImage
|
||||
} catch {
|
||||
self.currentView = .error("Could not load model, error: \(error)")
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Required by .animation
|
||||
extension LoadingView.CurrentView: Equatable {}
|
||||
|
||||
struct ErrorPopover: View {
|
||||
var errorMessage: String
|
||||
|
||||
var body: some View {
|
||||
Text(errorMessage)
|
||||
.font(.headline)
|
||||
.padding()
|
||||
.foregroundColor(.red)
|
||||
.background(Color.white)
|
||||
.cornerRadius(8)
|
||||
.shadow(color: Color.black.opacity(0.2), radius: 8, x: 0, y: 4)
|
||||
}
|
||||
}
|
||||
|
||||
struct LoadingView_Previews: PreviewProvider {
|
||||
static var previews: some View {
|
||||
LoadingView()
|
||||
}
|
||||
}
|
@ -0,0 +1,104 @@
|
||||
//
|
||||
// TextToImage.swift
|
||||
// Diffusion
|
||||
//
|
||||
// Created by Pedro Cuenca on December 2022.
|
||||
// See LICENSE at https://github.com/huggingface/swift-coreml-diffusers/LICENSE
|
||||
//
|
||||
|
||||
import SwiftUI
|
||||
import Combine
|
||||
import StableDiffusion
|
||||
|
||||
// TODO: bind to UI controls
|
||||
let scheduler = StableDiffusionScheduler.dpmpp
|
||||
let steps = 25
|
||||
let seed: UInt32? = nil
|
||||
|
||||
func generate(pipeline: Pipeline?, prompt: String) async -> CGImage? {
|
||||
guard let pipeline = pipeline else { return nil }
|
||||
return try? pipeline.generate(prompt: prompt, scheduler: scheduler, numInferenceSteps: steps, seed: seed)
|
||||
}
|
||||
|
||||
enum GenerationState {
|
||||
case startup
|
||||
case running(StableDiffusionProgress?)
|
||||
case idle
|
||||
}
|
||||
|
||||
struct ImageWithPlaceholder: View {
|
||||
var image: Binding<CGImage?>
|
||||
var state: Binding<GenerationState>
|
||||
|
||||
var body: some View {
|
||||
switch state.wrappedValue {
|
||||
case .startup: return AnyView(Image("placeholder").resizable())
|
||||
case .running(let progress):
|
||||
guard let progress = progress, progress.stepCount > 0 else {
|
||||
// The first time it takes a little bit before generation starts
|
||||
return AnyView(ProgressView())
|
||||
}
|
||||
let step = Int(progress.step) + 1
|
||||
let fraction = Double(step) / Double(progress.stepCount)
|
||||
let label = "Step \(step) of \(progress.stepCount)"
|
||||
return AnyView(ProgressView(label, value: fraction, total: 1).padding())
|
||||
default:
|
||||
guard let theImage = image.wrappedValue else {
|
||||
return AnyView(Image(systemName: "exclamationmark.triangle").resizable())
|
||||
}
|
||||
|
||||
let imageView = Image(theImage, scale: 1, label: Text("generated"))
|
||||
return AnyView(
|
||||
VStack {
|
||||
imageView.resizable().clipShape(RoundedRectangle(cornerRadius: 20))
|
||||
ShareLink(item: imageView, preview: SharePreview("Generated image", image: imageView))
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
struct TextToImage: View {
|
||||
@EnvironmentObject var context: DiffusionGlobals
|
||||
|
||||
@State private var prompt = "Labrador in the style of Vermeer"
|
||||
@State private var image: CGImage? = nil
|
||||
@State private var state: GenerationState = .startup
|
||||
|
||||
@State private var progressSubscriber: Cancellable?
|
||||
|
||||
func submit() {
|
||||
if case .running = state { return }
|
||||
Task {
|
||||
state = .running(nil)
|
||||
image = await generate(pipeline: context.pipeline, prompt: prompt)
|
||||
state = .idle
|
||||
}
|
||||
}
|
||||
|
||||
var body: some View {
|
||||
VStack {
|
||||
HStack {
|
||||
TextField("Prompt", text: $prompt)
|
||||
.textFieldStyle(.roundedBorder)
|
||||
.onSubmit {
|
||||
submit()
|
||||
}
|
||||
Button("Generate") {
|
||||
submit()
|
||||
}
|
||||
.padding()
|
||||
.buttonStyle(.borderedProminent)
|
||||
}
|
||||
ImageWithPlaceholder(image: $image, state: $state)
|
||||
.scaledToFit()
|
||||
Spacer()
|
||||
}
|
||||
.padding()
|
||||
.onAppear {
|
||||
progressSubscriber = context.pipeline!.progressPublisher.sink { progress in
|
||||
guard let progress = progress else { return }
|
||||
state = .running(progress)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
@ -0,0 +1,35 @@
|
||||
//
|
||||
// DiffusionTests.swift
|
||||
// DiffusionTests
|
||||
//
|
||||
// Created by Pedro Cuenca on December 2022.
|
||||
//
|
||||
|
||||
import XCTest
|
||||
|
||||
final class DiffusionTests: XCTestCase {
|
||||
|
||||
override func setUpWithError() throws {
|
||||
// Put setup code here. This method is called before the invocation of each test method in the class.
|
||||
}
|
||||
|
||||
override func tearDownWithError() throws {
|
||||
// Put teardown code here. This method is called after the invocation of each test method in the class.
|
||||
}
|
||||
|
||||
func testExample() throws {
|
||||
// This is an example of a functional test case.
|
||||
// Use XCTAssert and related functions to verify your tests produce the correct results.
|
||||
// Any test you write for XCTest can be annotated as throws and async.
|
||||
// Mark your test throws to produce an unexpected failure when your test encounters an uncaught error.
|
||||
// Mark your test async to allow awaiting for asynchronous code to complete. Check the results with assertions afterwards.
|
||||
}
|
||||
|
||||
func testPerformanceExample() throws {
|
||||
// This is an example of a performance test case.
|
||||
measure {
|
||||
// Put the code you want to measure the time of here.
|
||||
}
|
||||
}
|
||||
|
||||
}
|
@ -0,0 +1,32 @@
|
||||
//
|
||||
// DiffusionUITestsLaunchTests.swift
|
||||
// DiffusionUITests
|
||||
//
|
||||
// Created by Pedro Cuenca on December 2022.
|
||||
//
|
||||
|
||||
import XCTest
|
||||
|
||||
final class DiffusionUITestsLaunchTests: XCTestCase {
|
||||
|
||||
override class var runsForEachTargetApplicationUIConfiguration: Bool {
|
||||
true
|
||||
}
|
||||
|
||||
override func setUpWithError() throws {
|
||||
continueAfterFailure = false
|
||||
}
|
||||
|
||||
func testLaunch() throws {
|
||||
let app = XCUIApplication()
|
||||
app.launch()
|
||||
|
||||
// Insert steps here to perform after app launch but before taking a screenshot,
|
||||
// such as logging into a test account or navigating somewhere in the app
|
||||
|
||||
let attachment = XCTAttachment(screenshot: app.screenshot())
|
||||
attachment.name = "Launch Screen"
|
||||
attachment.lifetime = .keepAlways
|
||||
add(attachment)
|
||||
}
|
||||
}
|
@ -0,0 +1,201 @@
|
||||
Apache License
|
||||
Version 2.0, January 2004
|
||||
http://www.apache.org/licenses/
|
||||
|
||||
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
||||
|
||||
1. Definitions.
|
||||
|
||||
"License" shall mean the terms and conditions for use, reproduction,
|
||||
and distribution as defined by Sections 1 through 9 of this document.
|
||||
|
||||
"Licensor" shall mean the copyright owner or entity authorized by
|
||||
the copyright owner that is granting the License.
|
||||
|
||||
"Legal Entity" shall mean the union of the acting entity and all
|
||||
other entities that control, are controlled by, or are under common
|
||||
control with that entity. For the purposes of this definition,
|
||||
"control" means (i) the power, direct or indirect, to cause the
|
||||
direction or management of such entity, whether by contract or
|
||||
otherwise, or (ii) ownership of fifty percent (50%) or more of the
|
||||
outstanding shares, or (iii) beneficial ownership of such entity.
|
||||
|
||||
"You" (or "Your") shall mean an individual or Legal Entity
|
||||
exercising permissions granted by this License.
|
||||
|
||||
"Source" form shall mean the preferred form for making modifications,
|
||||
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|
||||
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|
||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
"Work" shall mean the work of authorship, whether in Source or
|
||||
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|
||||
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|
||||
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|
||||
|
||||
"Derivative Works" shall mean any work, whether in Source or Object
|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
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|
||||
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|
||||
END OF TERMS AND CONDITIONS
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||||
|
||||
APPENDIX: How to apply the Apache License to your work.
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||||
|
||||
To apply the Apache License to your work, attach the following
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||||
Copyright 2022 Hugging Face SAS.
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||||
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See the License for the specific language governing permissions and
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limitations under the License.
|
@ -0,0 +1,23 @@
|
||||
# Diffusion
|
||||
|
||||
This is a simple app that shows how to integrate Apple's [Core ML Stable Diffusion implementation](https://github.com/apple/ml-stable-diffusion) in a native Swift UI application. It can be used for faster iteration, or as sample code for other use cases.
|
||||
|
||||
On first launch, the application downloads a zipped archive with a Core ML version of Runway's Stable Diffusion v1.5, from [this location in the Hugging Face Hub](https://huggingface.co/pcuenq/coreml-stable-diffusion/tree/main). This process takes a while, as several GB of data have to be downloaded and unarchived.
|
||||
|
||||
For faster inference, we use a very fast scheduler: [DPM-Solver++](https://github.com/LuChengTHU/dpm-solver) that we ported to Swift. Since this scheduler is still not available in Apple's GitHub repository, the application depends on the following fork instead: https://github.com/pcuenca/ml-stable-diffusion. Our Swift port is based on [Diffusers' DPMSolverMultistepScheduler](https://github.com/huggingface/diffusers/blob/main/src/diffusers/schedulers/scheduling_dpmsolver_multistep.py), with a number of simplifications.
|
||||
|
||||
## Limitations
|
||||
|
||||
- Requires the latest betas of iOS 16.2, macOS Ventura 13.1, Xcode 14.2. They are all in the Release Candidate stage.
|
||||
- Although the app is platform independent, execution fails on iPhone 13 Pro, possibly due to memory constraints. We haven't tested on M2 iPads with 8 or 16 GB of memory.
|
||||
- The UI does not expose a way to configure the scheduler, number of inference steps, or generation seed. These are all available in the underlying code.
|
||||
- A single model (Stable Diffusion v1.5) is considered. The Core ML compute units have been hardcoded to CPU and GPU, since that's what gives best results on my Mac (M1 Max MacBook Pro).
|
||||
- Sometimes generation returns a `nil` image. This needs to be investigated.
|
||||
|
||||
## Next Steps
|
||||
|
||||
- Improve UI. Allow the user to select generation parameters.
|
||||
- Allow other models to run. Provide a recommended "compute units" configuration based on model and platform.
|
||||
- Implement other interesting schedulers.
|
||||
- Implement negative prompts.
|
||||
- Explore other features (image to image, for example).
|
Loading…
Reference in new issue